Added Stratified Sampling instead of Monte Carlo Sampling #742
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Update README
Bumps the npm_and_yarn group with 1 update in the /lime directory: [webpack-dev-server](https://github.com/webpack/webpack-dev-server). Updates `webpack-dev-server` from 1.16.5 to 5.1.0 - [Release notes](https://github.com/webpack/webpack-dev-server/releases) - [Changelog](https://github.com/webpack/webpack-dev-server/blob/master/CHANGELOG.md) - [Commits](webpack/webpack-dev-server@v1.16.5...v5.1.0) --- updated-dependencies: - dependency-name: webpack-dev-server dependency-type: direct:development dependency-group: npm_and_yarn ... Signed-off-by: dependabot[bot] <[email protected]>
Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. Updates `scikit-learn` to 1.5.2 - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.18...1.5.2) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production dependency-group: pip ... Signed-off-by: dependabot[bot] <[email protected]>
Update scikit-learn requirement from <1.0,>=0.18 to >=0.18,<2.0 in the pip group across 1 directory
…npm_and_yarn-bcad0931e5 Bump webpack-dev-server from 1.16.5 to 5.1.0 in /lime in the npm_and_yarn group across 1 directory
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Using Stratified Sampling to Improve LIME Image Explanations
This repository contains the changes needed to add the stratified sampling strategy to the original codebase of LIME proposed for the Research Article 'Using Stratified Sampling to Improve LIME Image Explanations'. published at Proceedings of the AAAI Conference on Artificial Intelligence.
The rest of Experiments for the proposed strategy are uploaded here at LIME Stratified Examples